activity
20232026
most citedLow-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic

53 citations · 60 across the 14 of their papers we have counts for

collaborators
Showing cs.CRShow all

7 papers · 1 filter

cs.CR2026

Understanding the Stealthy BGP Hijacking Risk in the ROV Era

Yihao Chen, Qi Li, Ke Xu +2

The partial deployment of Route Origin Validation (ROV) poses an unexpected security threat known as stealthy BGP hijacking, i.e., a particularly elusive form of BGP hijacking wher…

cs.CR2026

Blind Gods and Broken Screens: Architecting a Secure, Intent-Centric Mobile Agent Operating System

Zhenhua Zou, Sheng Guo, Qiuyang Zhan +6

The evolution of Large Language Models (LLMs) has shifted mobile computing from App-centric interactions to system-level autonomous agents. Current implementations predominantly re…

cs.CR2025

Towards Robust Multi-tab Website Fingerprinting

Xinhao Deng, Xiyuan Zhao, Qilei Yin +5

Website fingerprinting enables an eavesdropper to determine which websites a user is visiting over an encrypted connection. State-of-the-art website fingerprinting (WF) attacks hav…

cs.CR2024

Towards Fine-Grained Webpage Fingerprinting at Scale

Xiyuan Zhao, Xinhao Deng, Qi Li +4

Website Fingerprinting (WF) attacks can effectively identify the websites visited by Tor clients via analyzing encrypted traffic patterns. Existing attacks focus on identifying dif…

cs.CR202353 cited

Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic

Yuqi Qing, Qilei Yin, Xinhao Deng +6

Machine learning (ML) is promising in accurately detecting malicious flows in encrypted network traffic; however, it is challenging to collect a training dataset that contains a su…

cs.CR20231 cited

Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains

Peiyang Li, Ye Wang, Qi Li +5

Recently unsupervised machine learning based systems have been developed to detect zero-day Web attacks, which can effectively enhance existing Web Application Firewalls (WAFs). Ho…